v1.0 · London · 2026

Simon Rendon Arango

Engineer. Creates software. Uses AI cleverly. Occasionally predicts a football match.

Software and AI engineer. Currently shipping LLM-backed financial tooling at Untap. On the side I build LFM, a large football model, and EvalLens, an open-source LLM eval framework.

Role
Software · AI engineer
Based
London, UK
Get in touchSee work
or read the constellation →
rendonarango.sh
sra@london
rendonarango.sh · type 'help' or try a chip below.
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About

Software and AI Engineer

Hi, I’m Simon Rendon Arango, a Software and AI Engineer passionate about building intelligent systems that turn complex data into actionable insights. I hold an MSc in Computing (Software Engineering) from Imperial College London and a BSc in Systems and Computing Engineering from Universidad de los Andes. My professional journey spans startups and fintech, where I’ve designed AI-driven KPI extraction modules, developed scalable backend services, and built user-facing products at companies like Untap, Glamper, and Nequi (Bancolombia).

I’m also a curious creator, constantly exploring new technologies and side projects at the intersection of AI, data, and design. I thrive in fast-paced, collaborative environments where ambitious ideas meet rigorous execution — and I’m always looking for opportunities to push the boundaries of what’s possible with software and AI.

Selected work

Things I have shipped

Newest first.
Experience

Where I have worked

Nov 2024 — Present

Software Engineer

· Untap

Developed and maintained software for private equity investment management using Java, Python, and JavaScript

  • React
  • JavaScript
  • Java
  • Vertex
  • Gemini
  • GCP
Mar 2023 — Sep 2023

Software Engineer

· Glamper

Developed and maintained the Glamper web application using Vue.js and Nuxt.js, enhancing user experience and functionality

  • Vue
  • JavaScript
  • Nuxt
  • Python
  • AWS
Jul 2021 — Jan 2022

Intern Software Engineer

· Bancolombia

Developed internal AWS–Jira connectors to automate incident tracking, improving response time for infrastructure tickets.

  • Python
  • JavaScript
  • AWS
Education

Where I was taught

02 / 02
2018 — 2023
Bogotá, Colombia
Bachelor's Degree

Bachelor of Science in Systems and Computing Engineering

Universidad de los Andes

Core modules

Data StructuresAlgorithm design and analysisSoftware EngineeringMobile and Web DevelopmentSoftware Architecture

Sep 2023 — Sep 2024
London, United Kingdom
Master's Degree

Master of Science in Computing (Software Engineering)

Imperial College London

Core modules

Reinforcement LearningDeep LearningSoftware EngineeringMachine LearningNatural Language Processing

Skills

What I reach for

Core is deepest. Strong is production-ready. Working is honest.
CoreDeepest and most frequently used
14
  • GitDevOps
  • GitHubDevOps
  • JavaScriptFrontend
  • JupyterML · Data
  • LLMsML · Data
  • Next.jsFrontend
  • Node.jsBackend · Cloud
  • NumPyML · Data
  • PandasML · Data
  • PythonBackend · Cloud
  • RAGML · Data
  • ReactFrontend
  • Tailwind CSSFrontend
  • TypeScriptFrontend
Strong
Production-ready, used often
  • AWS
  • CI/CD
  • Data Visualization
  • Deep Learning
  • Design
  • Docker
  • Express
  • Framer Motion
  • GCP
  • GitLab
  • Java
  • MCP
  • Reinforcement Learning
  • Scikit-learn
  • shadcn/ui
  • TensorFlow
Working
Comfortable, actively improving

C++HPCNuxt.jsPyTorchVue

Ask

Ask me anything about my work

A small agent over my CV. It cites what it knows and admits what it does not.

RAG · indexed over CV · citations when available
Product · in progress

Large Football Model

Open LFM

Real-time match probabilities, an embedding explorer, and a Monte Carlo simulation lab. Streaming ingestion, online inference, vector search — a football engine built to read matches as living systems.

live · embeddings · simulationOpen LFM
Open source

EvalLens

Open EvalLens

A systematic evaluation framework for LLM outputs. Reproducible, versioned metrics across model and prompt variants — catches regressions before they ship instead of after.

reproducible · CI-ready · regressionsOpen EvalLens
This site · editorial

The Constellation

Open the constellation

A career rendered as a field of stars. Four editorial lenses redraw the connections between the same thirteen points — an engineering throughline, a tightening ML loop, a fleet of shipped products, a research compass from Bogotá to London.

four lenses · thirteen stars · twenty edgesOpen the constellation
Contact

Work together

Roles, collaborations, or interesting problems — send a note.